Evidence map›Paper›PMID 38907229›Full record

ArticleThrombosis journal2024

Syndecan-1 as a prognostic biomarker in COVID-19 patients: a retrospective study of a Japanese cohort.

Kiyohito Hayashi, Daisuke Koyama, Yoichi Hamazaki, Takamichi Kamiyama, Shingo Yamada, Miki Furukawa, Yoshinori Tanino, Yoko Shibata, Takayuki Ikezoe

Abstract read
In one paragraph

Article in Thrombosis journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kiyohito HayashiDepartment of Hematology, Fukushima Medical University, Fukushima, Fukushima, 960-1295, Japan.
Daisuke KoyamaDepartment of Hematology, Fukushima Medical University, Fukushima, Fukushima, 960-1295, Japan.
Yoichi HamazakiDepartment of Hematology, Iwaki City Medical Center, Iwaki, Fukushima, Japan.
Takamichi KamiyamaDepartment of Pediatric Surgery, Iwaki City Medical Center, Iwaki, Fukushima, Japan.
Shingo YamadaR&D Center, Shino-Test Corporation, Sagamihara, Kanagawa, Japan.
Miki FurukawaDivision of Hematology, Kita-Fukushima Medical Center, Date, Fukushima, Japan.
Yoshinori TaninoDepartment of Pulmonary Medicine, Fukushima Medical University, Fukushima, Fukushima, Japan.
Yoko ShibataDepartment of Pulmonary Medicine, Fukushima Medical University, Fukushima, Fukushima, Japan.
Takayuki IkezoeDepartment of Hematology, Fukushima Medical University, Fukushima, Fukushima, 960-1295, Japan. ikezoet@fmu.ac.jp.

Funding

JAPS KAKENHI 22K08510
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a profound global impact, with millions of confirmed cases and deaths worldwide. While most cases are mild, a subset progresses to severe respiratory complications and death, with factors such as thromboembolism, age, and underlying health conditions increasing the risk. Vascular endothelial damage has been implicated in severe outcomes, but specific biomarkers remain elusive. This study investigated syndecan-1 (SDC-1), a marker of endothelial damage, as a potential prognostic factor for COVID-19, focusing on the Japanese population, which is known for its aging demographics and high prevalence of comorbidities.

methodsA multicenter retrospective study of COVID-19 patients in Fukushima Prefecture in Japan who were admitted between February 2020 and August 2021 was conducted. SDC-1 levels were measured along with other clinical and laboratory parameters. Outcomes including thrombosis, 28-day survival, and disease severity were assessed, and disease severity was categorized according to established guidelines.

resultsSDC-1 levels were correlated with disease severity. Patients who died from COVID-19 had greater SDC-1 levels than survivors, and the area under the receiver operating characteristic curve (AUC) analysis suggested the potential of the SDC-1 level as a predictor of mortality (AUC 0.714). K‒M analysis also revealed a significant difference in survival based on an SDC-1 cutoff of 10.65 ng/mL. DISCUSSION: This study suggested that SDC-1 may serve as a valuable biomarker for assessing COVID-19 severity and predicting mortality within 28 days of hospitalization, particularly in the Japanese population. However, further investigations are required to assess longitudinal changes in SDC-1 levels, validate its predictive value for long-term survival, and consider its applicability to new viral variants.

conclusionsSDC-1 is emerging as a potential biomarker for assessing the severity and life expectancy of COVID-19 in the Japanese population, offering promise for improved risk stratification and patient management in the ongoing fight against the virus.

Indexed as

CoronavirusCoronavirus disease 2019Syndecan-1

Identifiers

PMID38907229
PMCPMC11191303

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.